Real-world operations / Structured data

Human demonstrations
for embodied AI.

Multi-view video and structured annotations from real industrial work. For robotics teams evaluating how people handle objects, complete tasks and recover from interruptions.

FIRST CAPTURE SCENARIO / FOOD HANDLING & PACKAGING

● SAMPLE / WEIGH & FILLEGOCENTRIC VIEW
Actual first-person weighing and filling sample with 2D hand keypoint overlays
2D HAND ESTIMATES
ACTION INTERVALS
SOURCE-FRAME TRACEABILITY
EVALUATION SAMPLE V6
01Multi-view capture
02Action & hand annotations
03Traceable data delivery
In practice / Food handling & packaging

Real tasks.
A closer look.

Explore our current evaluation sample: three selected operations, six camera views and annotations you can inspect.

View fields & sample specification ↗

Annotated overview · 58 seconds · Face-blurred, ULOVE AI watermarked preview

EVALUATION SAMPLE 0013 excerpts · 52 seconds of activity
01 / WEIGH & FILL30 SEC

Measure. Adjust. Fill.

Object handling around a scoop, scale and container.

Inspect labels ↗
02 / SEAL10 SEC

Position and seal.

Container handling at a sealing machine.

Inspect labels ↗
03 / RECOVERY12 SEC

Retrieve and return.

A container is retrieved from the floor and returned to a tray.

Inspect labels ↗
Explore each operation ↗

Three independent operation excerpts. The recovery example shows floor retrieval and return; the initial drop is outside the clip. See the data specification for scope.

What goes into a delivery

From recorded work
to inspectable data.

Capture context, label visible actions, and keep every selected frame connected to its source. Review the outputs before defining your next collection.

01 / CAPTURE

Multiple perspectives

Head-mounted, wrist-mounted and external camera views document the same working environment.

02 / ORGANIZE

Action sequences

Selected operations are segmented into labeled phases, with recovery behavior described where observed.

03 / ANNOTATE

2D hand estimates

Image-space hand estimates with point provenance and visibility-dependent availability.

04 / INSPECT

Traceable delivery

JSON and CSV annotations, source-frame mappings, integrity checks and an offline review interface.

Explore the capture & delivery workflow ↗
Build around your requirements

Start with a sample.
Define the next batch.

Bring your target task and required fields. Together, we can define a pilot, review the data against your criteria, and scope a larger collection.

  1. 01Define tasks, views and labels
  2. 02Review a pilot against agreed criteria
  3. 03Confirm volume, delivery and licensing

CURRENT EVALUATION DELIVERY

Viewing exports
1920 × 1080 / 30 fps
Annotations
Action intervals + 2D hand estimates
Structured files
JSON / CSV + source-frame mapping
Evaluation scope
Human demonstrations; no robot action trajectories
Custom requirements
Defined and validated per pilot
About ULoveAI

Industrial scenarios.
A shared data goal.

ULoveAI connects industrial capture scenarios in China with robotics and embodied AI teams, through a business contact in California.

Our current focus is human manipulation in food handling and packaging. Explore the sample, then define a pilot around your task and acceptance criteria.

Meet ULoveAI ↗
Start a conversation

Tell us what
you want to capture.

Evaluating the sample or planning a collection? Share your requirements so we can identify a useful starting point.

yvonne@uloveai.us ↗

US business contact · Pacific Time
Sample access and dataset licensing are discussed separately.

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